Alexandros Beskos

About Alexandros Beskos

Alexandros Beskos, With an exceptional h-index of 24 and a recent h-index of 20 (since 2020), a distinguished researcher at University College London, specializes in the field of Bayesian Statistics, Computational Statistics, Statistical Modelling, Financial Statistics, Biostatistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

ParticleDA. jl v. 1.0: a distributed particle-filtering data assimilation package

Antithetic Multilevel Methods for Elliptic and Hypo-Elliptic Diffusions with Applications

Change point detection in dynamic Gaussian graphical models: the impact of COVID-19 pandemic on the US stock market

Parameter Inference for Hypo-Elliptic Diffusions under a Weak Design Condition

Graph Sphere: From Nodes to Supernodes in Graphical Models

Parameter Inference for Degenerate Diffusion Processes

Sequential Markov Chain Monte Carlo for Lagrangian Data Assimilation with Applications to Unknown Data Locations

ParticleDA. jl v. 1.0: A real-time data assimilation software platform

Alexandros Beskos Information

University

Position

Reader in Statistics

Citations(all)

3769

Citations(since 2020)

1746

Cited By

2816

hIndex(all)

24

hIndex(since 2020)

20

i10Index(all)

37

i10Index(since 2020)

31

Email

University Profile Page

Google Scholar

Alexandros Beskos Skills & Research Interests

Bayesian Statistics

Computational Statistics

Statistical Modelling

Financial Statistics

Biostatistics

Top articles of Alexandros Beskos

ParticleDA. jl v. 1.0: a distributed particle-filtering data assimilation package

Geoscientific Model Development

2024/3/28

Antithetic Multilevel Methods for Elliptic and Hypo-Elliptic Diffusions with Applications

arXiv preprint arXiv:2403.13489

2024/3/20

Ajay Jasra
Ajay Jasra

H-Index: 23

Alexandros Beskos
Alexandros Beskos

H-Index: 18

Change point detection in dynamic Gaussian graphical models: the impact of COVID-19 pandemic on the US stock market

The Annals of Applied Statistics

2024/3

Alexandros Beskos
Alexandros Beskos

H-Index: 18

Parameter Inference for Hypo-Elliptic Diffusions under a Weak Design Condition

arXiv preprint arXiv:2312.04444

2023/12/7

Alexandros Beskos
Alexandros Beskos

H-Index: 18

Graph Sphere: From Nodes to Supernodes in Graphical Models

arXiv preprint arXiv:2310.11741

2023/10/18

Alexandros Beskos
Alexandros Beskos

H-Index: 18

Ajay Jasra
Ajay Jasra

H-Index: 23

Parameter Inference for Degenerate Diffusion Processes

arXiv preprint arXiv:2307.16485

2023/7/31

Alexandros Beskos
Alexandros Beskos

H-Index: 18

Matthew Graham
Matthew Graham

H-Index: 10

Sequential Markov Chain Monte Carlo for Lagrangian Data Assimilation with Applications to Unknown Data Locations

Quarterly Journal of the Royal Meteorological Society

2024/9/1

ParticleDA. jl v. 1.0: A real-time data assimilation software platform

Geoscientific Model Development Discussions

2023/3/21

Unbiased Estimation using a Class of Diffusion Processes

Journal of Computational Physics

2023/1/1

Parameter Estimation with Increased Precision for Elliptic and Hypo-elliptic Diffusions

arXiv preprint arXiv:2211.16384

2022/11/29

Alexandros Beskos
Alexandros Beskos

H-Index: 18

A Bayesian framework for genome-wide inference of DNA methylation levels

arXiv preprint arXiv:2211.07311

2022/11/14

The G-Wishart Weighted Proposal Algorithm: Efficient Posterior Computation for Gaussian Graphical Models

Journal of Computational and Graphical Statistics

2022/11

Alexandros Beskos
Alexandros Beskos

H-Index: 18

Online smoothing for diffusion processes observed with noise

Journal of Computational and Graphical Statistics

2022/11

Alexandros Beskos
Alexandros Beskos

H-Index: 18

MCMC algorithms for posteriors on matrix spaces

Journal of Computational and Graphical Statistics

2022/10/12

Alexandros Beskos
Alexandros Beskos

H-Index: 18

A Lagged Particle Filter for Stable Filtering of certain High-Dimensional State-Space Models

SIAM/ASA Journal on Uncertainty Quantification

2022/9/30

Manifold Markov chain Monte Carlo methods for Bayesian inference in diffusion models

Journal of the Royal Statistical Society, Series B

2022/9/30

Alexandros Beskos
Alexandros Beskos

H-Index: 18

A 4D-Var method with flow-dependent background covariances for the shallow-water equations

arXiv preprint arXiv:1710.11529

2017/10/31

Ajay Jasra
Ajay Jasra

H-Index: 23

Alexandros Beskos
Alexandros Beskos

H-Index: 18

Dan Crisan
Dan Crisan

H-Index: 24

Unbiased approximation of posteriors via coupled particle Markov chain Monte Carlo

Statistics and Computing

2022/6

Ajay Jasra
Ajay Jasra

H-Index: 23

Alexandros Beskos
Alexandros Beskos

H-Index: 18

Score-Based Parameter Estimation for a Class of Continuous-Time State Space Models

SIAM Journal on Scientific Computing

2021

Asymptotic Analysis of Model Selection Criteria for General Hidden Markov Models

Stochastic Processes and their Applications

2021/2/1

Alexandros Beskos
Alexandros Beskos

H-Index: 18

See List of Professors in Alexandros Beskos University(University College London)

Co-Authors

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